Cargando…

A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma

Intratumoral copper levels are closely associated with immune escape from diverse cancers. Cuproptosis-related lncRNAs (CRLs), however, have an unclear relationship with hepatocellular carcinoma (HCC). Gene expression data from 51 normal tissues and 373 liver cancer tissues from the Cancer Genome At...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Shujia, Liu, Peiyan, Zhao, Lili, Han, Ping, Liu, Jie, Yang, Hang, Li, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521313/
https://www.ncbi.nlm.nih.gov/pubmed/36189204
http://dx.doi.org/10.3389/fimmu.2022.954653
_version_ 1784799810370404352
author Chen, Shujia
Liu, Peiyan
Zhao, Lili
Han, Ping
Liu, Jie
Yang, Hang
Li, Jia
author_facet Chen, Shujia
Liu, Peiyan
Zhao, Lili
Han, Ping
Liu, Jie
Yang, Hang
Li, Jia
author_sort Chen, Shujia
collection PubMed
description Intratumoral copper levels are closely associated with immune escape from diverse cancers. Cuproptosis-related lncRNAs (CRLs), however, have an unclear relationship with hepatocellular carcinoma (HCC). Gene expression data from 51 normal tissues and 373 liver cancer tissues from the Cancer Genome Atlas (TCGA) database were collected and analyzed. To identify CRLs, we employed differentially expressed protein-coding genes (DE-PCGs)/lncRNAs (DE-lncRNAs) analysis, Kaplan–Meier (K-M) analysis, and univariate regression. By univariate and Lasso Cox regression analyses, we screened 10 prognosis-related lncRNAs. Subsequently, five CRLs were identified by multivariable Cox regression analysis to construct the prognosis model. This feature is an independent prognostic indicator to forecast overall survival. According to Gene Set Variation Analysis (GSVA) and Gene Ontology (GO), both immune-related biological processes (BPS) and pathways have CRL participation. In addition, we found that the characteristics of CRLs were associated with the expression of the tumor microenvironment (TME) and crucial immune checkpoints. CRLs could predict the clinical response to immunotherapy based on the studies of tumor immune dysfunction and rejection (TIDE) analysis. Additionally, it was verified that tumor mutational burden survival and prognosis were greatly different between high-risk and low-risk groups. Finally, we screened potential sensitive drugs for HCC. In conclusion, this study provides insight into the TME status in patients with HCC and lays a basis for immunotherapy and the selection of sensitive drugs.
format Online
Article
Text
id pubmed-9521313
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95213132022-09-30 A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma Chen, Shujia Liu, Peiyan Zhao, Lili Han, Ping Liu, Jie Yang, Hang Li, Jia Front Immunol Immunology Intratumoral copper levels are closely associated with immune escape from diverse cancers. Cuproptosis-related lncRNAs (CRLs), however, have an unclear relationship with hepatocellular carcinoma (HCC). Gene expression data from 51 normal tissues and 373 liver cancer tissues from the Cancer Genome Atlas (TCGA) database were collected and analyzed. To identify CRLs, we employed differentially expressed protein-coding genes (DE-PCGs)/lncRNAs (DE-lncRNAs) analysis, Kaplan–Meier (K-M) analysis, and univariate regression. By univariate and Lasso Cox regression analyses, we screened 10 prognosis-related lncRNAs. Subsequently, five CRLs were identified by multivariable Cox regression analysis to construct the prognosis model. This feature is an independent prognostic indicator to forecast overall survival. According to Gene Set Variation Analysis (GSVA) and Gene Ontology (GO), both immune-related biological processes (BPS) and pathways have CRL participation. In addition, we found that the characteristics of CRLs were associated with the expression of the tumor microenvironment (TME) and crucial immune checkpoints. CRLs could predict the clinical response to immunotherapy based on the studies of tumor immune dysfunction and rejection (TIDE) analysis. Additionally, it was verified that tumor mutational burden survival and prognosis were greatly different between high-risk and low-risk groups. Finally, we screened potential sensitive drugs for HCC. In conclusion, this study provides insight into the TME status in patients with HCC and lays a basis for immunotherapy and the selection of sensitive drugs. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9521313/ /pubmed/36189204 http://dx.doi.org/10.3389/fimmu.2022.954653 Text en Copyright © 2022 Chen, Liu, Zhao, Han, Liu, Yang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Chen, Shujia
Liu, Peiyan
Zhao, Lili
Han, Ping
Liu, Jie
Yang, Hang
Li, Jia
A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title_full A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title_fullStr A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title_full_unstemmed A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title_short A novel cuproptosis-related prognostic lncRNA signature for predicting immune and drug therapy response in hepatocellular carcinoma
title_sort novel cuproptosis-related prognostic lncrna signature for predicting immune and drug therapy response in hepatocellular carcinoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521313/
https://www.ncbi.nlm.nih.gov/pubmed/36189204
http://dx.doi.org/10.3389/fimmu.2022.954653
work_keys_str_mv AT chenshujia anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT liupeiyan anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT zhaolili anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT hanping anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT liujie anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT yanghang anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT lijia anovelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT chenshujia novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT liupeiyan novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT zhaolili novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT hanping novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT liujie novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT yanghang novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma
AT lijia novelcuproptosisrelatedprognosticlncrnasignatureforpredictingimmuneanddrugtherapyresponseinhepatocellularcarcinoma